This article introduces a self‑learning prompt‑optimization framework that continuously refines large‑language‑model prompts for security questionnaire automation. By combining real‑time performance metrics, human‑in‑the‑loop validation, and automated A/B testing, the loop delivers higher answer precision, faster turnaround, and auditable compliance—key benefits for platforms like Procurize.

This article introduces a novel, real‑time collaborative knowledge‑graph engine that unites security, legal, and product teams around a single source of truth. By blending generative AI, policy‑drift detection, and fine‑grained access control, the platform auto‑updates answers, surfaces missing evidence, and instantly syncs changes across all pending questionnaires, cutting response time by up to 80 %.

Procurize AI introduces a groundbreaking layer that combines homomorphic encryption with generative AI to secure sensitive vendor questionnaire data. This article dives into the cryptographic foundations, system architecture, real‑time processing workflow, and practical benefits for compliance teams seeking zero‑knowledge protection without sacrificing automation speed.